Overview

Brought to you by YData

Dataset statistics

Number of variables26
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory216.0 B

Variable types

Categorical2
TimeSeries22
Numeric2

Timeseries statistics

Number of series22
Time series length100
Starting point1751992020000
Ending point1751997960000
Period60000
2025-07-18T17:26:52.883597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:52.991067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

pair has constant value "ETH/EUR" Constant
candle_seconds has constant value "60" Constant
close is highly overall correlated with ema_14 and 14 other fieldsHigh correlation
ema_14 is highly overall correlated with close and 14 other fieldsHigh correlation
ema_21 is highly overall correlated with close and 14 other fieldsHigh correlation
ema_60 is highly overall correlated with close and 14 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 14 other fieldsHigh correlation
high is highly overall correlated with close and 14 other fieldsHigh correlation
low is highly overall correlated with close and 14 other fieldsHigh correlation
macd_7 is highly overall correlated with macdsignal_7 and 2 other fieldsHigh correlation
macdhist_7 is highly overall correlated with rsi_7High correlation
macdsignal_7 is highly overall correlated with macd_7 and 1 other fieldsHigh correlation
obv is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 14 other fieldsHigh correlation
rsi_14 is highly overall correlated with macd_7 and 2 other fieldsHigh correlation
rsi_21 is highly overall correlated with macd_7 and 2 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 14 other fieldsHigh correlation
rsi_7 is highly overall correlated with macdhist_7 and 1 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_60 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 14 other fieldsHigh correlation
target is highly overall correlated with close and 14 other fieldsHigh correlation
volume is highly overall correlated with obvHigh correlation
window_end_ms is highly overall correlated with close and 14 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 14 other fieldsHigh correlation
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
ema_7 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_21 is non stationary Non stationary
ema_60 is non stationary Non stationary
rsi_14 is non stationary Non stationary
rsi_21 is non stationary Non stationary
rsi_60 is non stationary Non stationary
target is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
volume has unique values Unique
window_start_ms has unique values Unique
window_end_ms has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
rsi_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv has unique values Unique

Reproduction

Analysis started2025-07-18 16:26:34.848395
Analysis finished2025-07-18 16:26:52.832487
Duration17.98 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

pair
Categorical

Constant 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
ETH/EUR
100 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters700
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowETH/EUR
2nd rowETH/EUR
3rd rowETH/EUR
4th rowETH/EUR
5th rowETH/EUR

Common Values

ValueCountFrequency (%)
ETH/EUR 100
100.0%

Length

2025-07-18T17:26:53.082473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-18T17:26:53.102926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
eth/eur 100
100.0%

Most occurring characters

ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 200
28.6%
T 100
14.3%
H 100
14.3%
/ 100
14.3%
U 100
14.3%
R 100
14.3%

open
Numeric time series

High correlation  Non stationary 

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218.9386
Minimum2196.06
Maximum2240.47
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:53.127518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2196.06
5-th percentile2199.984
Q12201.68
median2226.635
Q32231.5775
95-th percentile2236.634
Maximum2240.47
Range44.41
Interquartile range (IQR)29.8975

Descriptive statistics

Standard deviation14.845525
Coefficient of variation (CV)0.006690372
Kurtosis-1.7304425
Mean2218.9386
Median Absolute Deviation (MAD)8.135
Skewness-0.28670203
Sum221893.86
Variance220.3896
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7932466918
2025-07-18T17:26:53.171515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:53.281550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:53.305736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2200.88 2
 
2.0%
2198.26 2
 
2.0%
2201.68 2
 
2.0%
2238 2
 
2.0%
2231.83 2
 
2.0%
2230.63 2
 
2.0%
2226.62 2
 
2.0%
2199.68 1
 
1.0%
2200.79 1
 
1.0%
2203.22 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
2196.06 1
1.0%
2198.25 1
1.0%
2198.26 2
2.0%
2199.68 1
1.0%
2200 1
1.0%
2200.02 1
1.0%
2200.41 1
1.0%
2200.43 1
1.0%
2200.49 1
1.0%
2200.63 1
1.0%
ValueCountFrequency (%)
2240.47 1
1.0%
2239.46 1
1.0%
2238 2
2.0%
2237.85 1
1.0%
2236.57 1
1.0%
2235.97 1
1.0%
2235.87 1
1.0%
2234.99 1
1.0%
2234.55 1
1.0%
2234.29 1
1.0%
2025-07-18T17:26:53.205286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2219.9906
Minimum2198.25
Maximum2241.13
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:53.348855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2198.25
5-th percentile2200.4095
Q12202.1775
median2228.015
Q32232.3475
95-th percentile2238
Maximum2241.13
Range42.88
Interquartile range (IQR)30.17

Descriptive statistics

Standard deviation14.976451
Coefficient of variation (CV)0.0067461778
Kurtosis-1.712157
Mean2219.9906
Median Absolute Deviation (MAD)7.905
Skewness-0.32552602
Sum221999.06
Variance224.2941
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7067035856
2025-07-18T17:26:53.392602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:53.507057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:53.527400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2201.68 3
 
3.0%
2238 3
 
3.0%
2198.25 2
 
2.0%
2204.71 2
 
2.0%
2202.18 2
 
2.0%
2228.39 2
 
2.0%
2231 2
 
2.0%
2226.63 2
 
2.0%
2230.63 2
 
2.0%
2231.84 2
 
2.0%
Other values (75) 78
78.0%
ValueCountFrequency (%)
2198.25 2
2.0%
2198.26 1
1.0%
2199.68 1
1.0%
2200.02 1
1.0%
2200.43 1
1.0%
2200.49 1
1.0%
2200.79 1
1.0%
2200.84 1
1.0%
2201.12 1
1.0%
2201.19 1
1.0%
ValueCountFrequency (%)
2241.13 1
 
1.0%
2240.47 1
 
1.0%
2239.46 1
 
1.0%
2238 3
3.0%
2237.85 1
 
1.0%
2236.09 1
 
1.0%
2235.97 1
 
1.0%
2235.87 1
 
1.0%
2234.99 2
2.0%
2234.51 1
 
1.0%
2025-07-18T17:26:53.432656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218.1564
Minimum2195.53
Maximum2238.41
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:53.569582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2195.53
5-th percentile2199.4215
Q12201.24
median2226.45
Q32230.6375
95-th percentile2235.9135
Maximum2238.41
Range42.88
Interquartile range (IQR)29.3975

Descriptive statistics

Standard deviation14.575361
Coefficient of variation (CV)0.006570935
Kurtosis-1.7366897
Mean2218.1564
Median Absolute Deviation (MAD)7.16
Skewness-0.30693696
Sum221815.64
Variance212.44116
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7198941646
2025-07-18T17:26:53.611741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:53.718138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:53.739483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2230.62 4
 
4.0%
2200.88 2
 
2.0%
2201.06 2
 
2.0%
2201.67 2
 
2.0%
2226.58 2
 
2.0%
2228.09 2
 
2.0%
2199.47 1
 
1.0%
2198.5 1
 
1.0%
2203.21 1
 
1.0%
2200.74 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
2195.53 1
1.0%
2196.06 1
1.0%
2198.25 1
1.0%
2198.26 1
1.0%
2198.5 1
1.0%
2199.47 1
1.0%
2199.56 1
1.0%
2199.84 1
1.0%
2200 1
1.0%
2200.01 1
1.0%
ValueCountFrequency (%)
2238.41 1
1.0%
2238 1
1.0%
2237.47 1
1.0%
2235.99 1
1.0%
2235.98 1
1.0%
2235.91 1
1.0%
2234.25 1
1.0%
2233.92 1
1.0%
2233.76 1
1.0%
2232.62 1
1.0%
2025-07-18T17:26:53.641751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2219.1632
Minimum2196.29
Maximum2239.18
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:53.780945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2196.29
5-th percentile2199.75
Q12201.6875
median2226.605
Q32231.84
95-th percentile2236.5745
Maximum2239.18
Range42.89
Interquartile range (IQR)30.1525

Descriptive statistics

Standard deviation14.70708
Coefficient of variation (CV)0.0066273088
Kurtosis-1.7072867
Mean2219.1632
Median Absolute Deviation (MAD)7.395
Skewness-0.33007722
Sum221916.32
Variance216.29819
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7309204828
2025-07-18T17:26:53.822998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:54.064336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:54.090017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2201.68 3
 
3.0%
2231.84 3
 
3.0%
2201.69 2
 
2.0%
2231 2
 
2.0%
2238 2
 
2.0%
2201.07 2
 
2.0%
2198.25 2
 
2.0%
2200.57 1
 
1.0%
2203.8 1
 
1.0%
2200.84 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
2196.29 1
1.0%
2198.25 2
2.0%
2199.12 1
1.0%
2199.56 1
1.0%
2199.76 1
1.0%
2199.84 1
1.0%
2200.01 1
1.0%
2200.44 1
1.0%
2200.56 1
1.0%
2200.57 1
1.0%
ValueCountFrequency (%)
2239.18 1
1.0%
2238.41 1
1.0%
2238 2
2.0%
2237.99 1
1.0%
2236.5 1
1.0%
2235.92 1
1.0%
2235.62 1
1.0%
2234.99 1
1.0%
2234.04 1
1.0%
2233.93 1
1.0%
2025-07-18T17:26:53.855208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8496533
Minimum0.03933687
Maximum67.933819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:54.132203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.03933687
5-th percentile0.25597911
Q10.66978435
median2.3091495
Q310.593319
95-th percentile46.705004
Maximum67.933819
Range67.894482
Interquartile range (IQR)9.9235347

Descriptive statistics

Standard deviation15.016379
Coefficient of variation (CV)1.6968325
Kurtosis5.8033825
Mean8.8496533
Median Absolute Deviation (MAD)1.8707306
Skewness2.4691877
Sum884.96533
Variance225.49165
MonotonicityNot monotonic
2025-07-18T17:26:54.174161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03933687 1
 
1.0%
10.14782362 1
 
1.0%
2.53865705 1
 
1.0%
1.159302 1
 
1.0%
0.45352185 1
 
1.0%
3.26640326 1
 
1.0%
2.5695621 1
 
1.0%
2.28992307 1
 
1.0%
0.47434456 1
 
1.0%
0.32929713 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.03933687 1
1.0%
0.04938846 1
1.0%
0.06009142 1
1.0%
0.16466896 1
1.0%
0.2212433 1
1.0%
0.25780731 1
1.0%
0.28138775 1
1.0%
0.28628336 1
1.0%
0.30440831 1
1.0%
0.30676811 1
1.0%
ValueCountFrequency (%)
67.93381869 1
1.0%
64.65788919 1
1.0%
61.27382236 1
1.0%
58.80823865 1
1.0%
47.25492115 1
1.0%
46.6760611 1
1.0%
40.1093201 1
1.0%
35.60600827 1
1.0%
29.92927997 1
1.0%
29.2984526 1
1.0%

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.751995 × 1012
Minimum1.751992 × 1012
Maximum1.751998 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:54.214342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.751992 × 1012
5-th percentile1.7519923 × 1012
Q11.7519935 × 1012
median1.751995 × 1012
Q31.7519965 × 1012
95-th percentile1.7519977 × 1012
Maximum1.751998 × 1012
Range5940000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1740689.5
Coefficient of variation (CV)9.9354709 × 10-7
Kurtosis-1.2
Mean1.751995 × 1012
Median Absolute Deviation (MAD)1500000
Skewness3.2018039 × 10-17
Sum1.751995 × 1014
Variance3.03 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585319522
2025-07-18T17:26:54.255994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:54.374952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:54.396393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75199202 × 10121
 
1.0%
1.75199208 × 10121
 
1.0%
1.75199214 × 10121
 
1.0%
1.7519922 × 10121
 
1.0%
1.75199226 × 10121
 
1.0%
1.75199232 × 10121
 
1.0%
1.75199238 × 10121
 
1.0%
1.75199244 × 10121
 
1.0%
1.7519925 × 10121
 
1.0%
1.75199256 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.75199202 × 10121
1.0%
1.75199208 × 10121
1.0%
1.75199214 × 10121
1.0%
1.7519922 × 10121
1.0%
1.75199226 × 10121
1.0%
1.75199232 × 10121
1.0%
1.75199238 × 10121
1.0%
1.75199244 × 10121
1.0%
1.7519925 × 10121
1.0%
1.75199256 × 10121
1.0%
ValueCountFrequency (%)
1.75199796 × 10121
1.0%
1.7519979 × 10121
1.0%
1.75199784 × 10121
1.0%
1.75199778 × 10121
1.0%
1.75199772 × 10121
1.0%
1.75199766 × 10121
1.0%
1.7519976 × 10121
1.0%
1.75199754 × 10121
1.0%
1.75199748 × 10121
1.0%
1.75199742 × 10121
1.0%
2025-07-18T17:26:54.294286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.751995 × 1012
Minimum1.7519921 × 1012
Maximum1.751998 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:54.438526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7519921 × 1012
5-th percentile1.7519924 × 1012
Q11.7519936 × 1012
median1.751995 × 1012
Q31.7519965 × 1012
95-th percentile1.7519977 × 1012
Maximum1.751998 × 1012
Range5940000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1740689.5
Coefficient of variation (CV)9.9354705 × 10-7
Kurtosis-1.2
Mean1.751995 × 1012
Median Absolute Deviation (MAD)1500000
Skewness3.2018039 × 10-17
Sum1.751995 × 1014
Variance3.03 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.958532241
2025-07-18T17:26:54.482608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:54.600497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:54.622525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75199208 × 10121
 
1.0%
1.75199214 × 10121
 
1.0%
1.7519922 × 10121
 
1.0%
1.75199226 × 10121
 
1.0%
1.75199232 × 10121
 
1.0%
1.75199238 × 10121
 
1.0%
1.75199244 × 10121
 
1.0%
1.7519925 × 10121
 
1.0%
1.75199256 × 10121
 
1.0%
1.75199262 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.75199208 × 10121
1.0%
1.75199214 × 10121
1.0%
1.7519922 × 10121
1.0%
1.75199226 × 10121
1.0%
1.75199232 × 10121
1.0%
1.75199238 × 10121
1.0%
1.75199244 × 10121
1.0%
1.7519925 × 10121
1.0%
1.75199256 × 10121
1.0%
1.75199262 × 10121
1.0%
ValueCountFrequency (%)
1.75199802 × 10121
1.0%
1.75199796 × 10121
1.0%
1.7519979 × 10121
1.0%
1.75199784 × 10121
1.0%
1.75199778 × 10121
1.0%
1.75199772 × 10121
1.0%
1.75199766 × 10121
1.0%
1.7519976 × 10121
1.0%
1.75199754 × 10121
1.0%
1.75199748 × 10121
1.0%
2025-07-18T17:26:54.517285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

candle_seconds
Categorical

Constant 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
60
100 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters200
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 100
100.0%

Length

2025-07-18T17:26:54.659060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-18T17:26:54.679435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
60 100
100.0%

Most occurring characters

ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

sma_7
Numeric time series

High correlation  Non stationary 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218.1588
Minimum2198.5057
Maximum2237.7143
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:54.709648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2198.5057
5-th percentile2199.4219
Q12201.6475
median2226.7314
Q32230.8246
95-th percentile2235.7374
Maximum2237.7143
Range39.208571
Interquartile range (IQR)29.177143

Descriptive statistics

Standard deviation14.656457
Coefficient of variation (CV)0.0066074878
Kurtosis-1.8208025
Mean2218.1588
Median Absolute Deviation (MAD)8.4007143
Skewness-0.23448523
Sum221815.88
Variance214.81174
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5741619582
2025-07-18T17:26:54.752952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:54.868455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:54.891656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2229.528571 2
 
2.0%
2199.321429 1
 
1.0%
2198.505714 1
 
1.0%
2200.75 1
 
1.0%
2201.75 1
 
1.0%
2202.38 1
 
1.0%
2201.678571 1
 
1.0%
2201.414286 1
 
1.0%
2200.727143 1
 
1.0%
2200.395714 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
2198.505714 1
1.0%
2198.867143 1
1.0%
2199.01 1
1.0%
2199.061429 1
1.0%
2199.321429 1
1.0%
2199.427143 1
1.0%
2199.602857 1
1.0%
2199.804286 1
1.0%
2200.195714 1
1.0%
2200.395714 1
1.0%
ValueCountFrequency (%)
2237.714286 1
1.0%
2237.404286 1
1.0%
2236.911429 1
1.0%
2236.338571 1
1.0%
2236.04 1
1.0%
2235.721429 1
1.0%
2235.007143 1
1.0%
2234.662857 1
1.0%
2234.021429 1
1.0%
2233.427143 1
1.0%
2025-07-18T17:26:54.786851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2216.7356
Minimum2194.0207
Maximum2235.1457
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:54.926206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2194.0207
5-th percentile2198.8324
Q12201.092
median2224.0311
Q32230.3629
95-th percentile2234.6742
Maximum2235.1457
Range41.125
Interquartile range (IQR)29.270893

Descriptive statistics

Standard deviation14.685453
Coefficient of variation (CV)0.0066248102
Kurtosis-1.8347703
Mean2216.7356
Median Absolute Deviation (MAD)10.719286
Skewness-0.14756956
Sum221673.56
Variance215.66253
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5134353323
2025-07-18T17:26:54.976178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:55.085779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:55.107786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2194.020714 1
 
1.0%
2194.907857 1
 
1.0%
2195.740714 1
 
1.0%
2196.885714 1
 
1.0%
2197.996429 1
 
1.0%
2198.876429 1
 
1.0%
2199.530714 1
 
1.0%
2199.96 1
 
1.0%
2200.024286 1
 
1.0%
2200.1 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2194.020714 1
1.0%
2194.907857 1
1.0%
2195.740714 1
1.0%
2196.885714 1
1.0%
2197.996429 1
1.0%
2198.876429 1
1.0%
2199.530714 1
1.0%
2199.96 1
1.0%
2200 1
1.0%
2200.014286 1
1.0%
ValueCountFrequency (%)
2235.145714 1
1.0%
2235.132857 1
1.0%
2234.882857 1
1.0%
2234.871429 1
1.0%
2234.835 1
1.0%
2234.665714 1
1.0%
2234.574286 1
1.0%
2234.194286 1
1.0%
2233.821429 1
1.0%
2233.057857 1
1.0%
2025-07-18T17:26:55.009775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2215.1665
Minimum2192.64
Maximum2233.6029
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:55.146803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2192.64
5-th percentile2195.4264
Q12200.6305
median2216.6207
Q32229.9635
95-th percentile2232.1402
Maximum2233.6029
Range40.962857
Interquartile range (IQR)29.332976

Descriptive statistics

Standard deviation14.63506
Coefficient of variation (CV)0.006606754
Kurtosis-1.7959263
Mean2215.1665
Median Absolute Deviation (MAD)14.349048
Skewness-0.079769987
Sum221516.65
Variance214.18498
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7776796852
2025-07-18T17:26:55.189909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:55.299725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:55.320350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2192.64 1
 
1.0%
2193.092857 1
 
1.0%
2193.551429 1
 
1.0%
2194.182381 1
 
1.0%
2194.868571 1
 
1.0%
2195.455714 1
 
1.0%
2195.991429 1
 
1.0%
2196.485238 1
 
1.0%
2196.847619 1
 
1.0%
2197.292381 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2192.64 1
1.0%
2193.092857 1
1.0%
2193.551429 1
1.0%
2194.182381 1
1.0%
2194.868571 1
1.0%
2195.455714 1
1.0%
2195.991429 1
1.0%
2196.485238 1
1.0%
2196.847619 1
1.0%
2197.292381 1
1.0%
ValueCountFrequency (%)
2233.602857 1
1.0%
2233.406667 1
1.0%
2232.992381 1
1.0%
2232.639524 1
1.0%
2232.37 1
1.0%
2232.128095 1
1.0%
2231.846667 1
1.0%
2231.667619 1
1.0%
2231.46381 1
1.0%
2231.115238 1
1.0%
2025-07-18T17:26:55.222728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2207.5134
Minimum2191.8417
Maximum2230.728
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:55.360008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2191.8417
5-th percentile2192.8986
Q12195.8332
median2205.5087
Q32218.406
95-th percentile2228.6437
Maximum2230.728
Range38.886333
Interquartile range (IQR)22.572792

Descriptive statistics

Standard deviation12.467645
Coefficient of variation (CV)0.0056478233
Kurtosis-1.2978936
Mean2207.5134
Median Absolute Deviation (MAD)10.561583
Skewness0.3765782
Sum220751.34
Variance155.44218
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9002159778
2025-07-18T17:26:55.412735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:55.532003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:55.556940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2191.841667 1
 
1.0%
2192.035167 1
 
1.0%
2192.2315 1
 
1.0%
2192.485833 1
 
1.0%
2192.723667 1
 
1.0%
2192.907833 1
 
1.0%
2193.078 1
 
1.0%
2193.230833 1
 
1.0%
2193.351 1
 
1.0%
2193.471 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2191.841667 1
1.0%
2192.035167 1
1.0%
2192.2315 1
1.0%
2192.485833 1
1.0%
2192.723667 1
1.0%
2192.907833 1
1.0%
2193.078 1
1.0%
2193.230833 1
1.0%
2193.351 1
1.0%
2193.471 1
1.0%
ValueCountFrequency (%)
2230.728 1
1.0%
2230.452333 1
1.0%
2230.114667 1
1.0%
2229.6145 1
1.0%
2229.125667 1
1.0%
2228.618333 1
1.0%
2228.116667 1
1.0%
2227.602833 1
1.0%
2227.0915 1
1.0%
2226.536 1
1.0%
2025-07-18T17:26:55.448628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Non stationary 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218.1588
Minimum2198.5057
Maximum2237.7143
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:55.735914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2198.5057
5-th percentile2199.4219
Q12201.6475
median2226.7314
Q32230.8246
95-th percentile2235.7374
Maximum2237.7143
Range39.208571
Interquartile range (IQR)29.177143

Descriptive statistics

Standard deviation14.656457
Coefficient of variation (CV)0.0066074878
Kurtosis-1.8208025
Mean2218.1588
Median Absolute Deviation (MAD)8.4007143
Skewness-0.23448523
Sum221815.88
Variance214.81174
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5741619582
2025-07-18T17:26:55.781703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:55.896118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:55.920073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2229.528571 2
 
2.0%
2199.321429 1
 
1.0%
2198.505714 1
 
1.0%
2200.75 1
 
1.0%
2201.75 1
 
1.0%
2202.38 1
 
1.0%
2201.678571 1
 
1.0%
2201.414286 1
 
1.0%
2200.727143 1
 
1.0%
2200.395714 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
2198.505714 1
1.0%
2198.867143 1
1.0%
2199.01 1
1.0%
2199.061429 1
1.0%
2199.321429 1
1.0%
2199.427143 1
1.0%
2199.602857 1
1.0%
2199.804286 1
1.0%
2200.195714 1
1.0%
2200.395714 1
1.0%
ValueCountFrequency (%)
2237.714286 1
1.0%
2237.404286 1
1.0%
2236.911429 1
1.0%
2236.338571 1
1.0%
2236.04 1
1.0%
2235.721429 1
1.0%
2235.007143 1
1.0%
2234.662857 1
1.0%
2234.021429 1
1.0%
2233.427143 1
1.0%
2025-07-18T17:26:55.820854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2216.7356
Minimum2194.0207
Maximum2235.1457
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:55.957466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2194.0207
5-th percentile2198.8324
Q12201.092
median2224.0311
Q32230.3629
95-th percentile2234.6742
Maximum2235.1457
Range41.125
Interquartile range (IQR)29.270893

Descriptive statistics

Standard deviation14.685453
Coefficient of variation (CV)0.0066248102
Kurtosis-1.8347703
Mean2216.7356
Median Absolute Deviation (MAD)10.719286
Skewness-0.14756956
Sum221673.56
Variance215.66253
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5134353323
2025-07-18T17:26:55.997905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:56.107206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:56.129343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2194.020714 1
 
1.0%
2194.907857 1
 
1.0%
2195.740714 1
 
1.0%
2196.885714 1
 
1.0%
2197.996429 1
 
1.0%
2198.876429 1
 
1.0%
2199.530714 1
 
1.0%
2199.96 1
 
1.0%
2200.024286 1
 
1.0%
2200.1 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2194.020714 1
1.0%
2194.907857 1
1.0%
2195.740714 1
1.0%
2196.885714 1
1.0%
2197.996429 1
1.0%
2198.876429 1
1.0%
2199.530714 1
1.0%
2199.96 1
1.0%
2200 1
1.0%
2200.014286 1
1.0%
ValueCountFrequency (%)
2235.145714 1
1.0%
2235.132857 1
1.0%
2234.882857 1
1.0%
2234.871429 1
1.0%
2234.835 1
1.0%
2234.665714 1
1.0%
2234.574286 1
1.0%
2234.194286 1
1.0%
2233.821429 1
1.0%
2233.057857 1
1.0%
2025-07-18T17:26:56.033544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2215.1665
Minimum2192.64
Maximum2233.6029
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:56.167304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2192.64
5-th percentile2195.4264
Q12200.6305
median2216.6207
Q32229.9635
95-th percentile2232.1402
Maximum2233.6029
Range40.962857
Interquartile range (IQR)29.332976

Descriptive statistics

Standard deviation14.63506
Coefficient of variation (CV)0.006606754
Kurtosis-1.7959263
Mean2215.1665
Median Absolute Deviation (MAD)14.349048
Skewness-0.079769987
Sum221516.65
Variance214.18498
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7776796852
2025-07-18T17:26:56.208524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:56.331327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:56.351890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2192.64 1
 
1.0%
2193.092857 1
 
1.0%
2193.551429 1
 
1.0%
2194.182381 1
 
1.0%
2194.868571 1
 
1.0%
2195.455714 1
 
1.0%
2195.991429 1
 
1.0%
2196.485238 1
 
1.0%
2196.847619 1
 
1.0%
2197.292381 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2192.64 1
1.0%
2193.092857 1
1.0%
2193.551429 1
1.0%
2194.182381 1
1.0%
2194.868571 1
1.0%
2195.455714 1
1.0%
2195.991429 1
1.0%
2196.485238 1
1.0%
2196.847619 1
1.0%
2197.292381 1
1.0%
ValueCountFrequency (%)
2233.602857 1
1.0%
2233.406667 1
1.0%
2232.992381 1
1.0%
2232.639524 1
1.0%
2232.37 1
1.0%
2232.128095 1
1.0%
2231.846667 1
1.0%
2231.667619 1
1.0%
2231.46381 1
1.0%
2231.115238 1
1.0%
2025-07-18T17:26:56.240257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2207.5134
Minimum2191.8417
Maximum2230.728
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:56.392305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2191.8417
5-th percentile2192.8986
Q12195.8332
median2205.5087
Q32218.406
95-th percentile2228.6437
Maximum2230.728
Range38.886333
Interquartile range (IQR)22.572792

Descriptive statistics

Standard deviation12.467645
Coefficient of variation (CV)0.0056478233
Kurtosis-1.2978936
Mean2207.5134
Median Absolute Deviation (MAD)10.561583
Skewness0.3765782
Sum220751.34
Variance155.44218
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9002159778
2025-07-18T17:26:56.445888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:56.566101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:56.589056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2191.841667 1
 
1.0%
2192.035167 1
 
1.0%
2192.2315 1
 
1.0%
2192.485833 1
 
1.0%
2192.723667 1
 
1.0%
2192.907833 1
 
1.0%
2193.078 1
 
1.0%
2193.230833 1
 
1.0%
2193.351 1
 
1.0%
2193.471 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2191.841667 1
1.0%
2192.035167 1
1.0%
2192.2315 1
1.0%
2192.485833 1
1.0%
2192.723667 1
1.0%
2192.907833 1
1.0%
2193.078 1
1.0%
2193.230833 1
1.0%
2193.351 1
1.0%
2193.471 1
1.0%
ValueCountFrequency (%)
2230.728 1
1.0%
2230.452333 1
1.0%
2230.114667 1
1.0%
2229.6145 1
1.0%
2229.125667 1
1.0%
2228.618333 1
1.0%
2228.116667 1
1.0%
2227.602833 1
1.0%
2227.0915 1
1.0%
2226.536 1
1.0%
2025-07-18T17:26:56.481895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation 

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.194737
Minimum7.4652778
Maximum100
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:56.628762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.4652778
5-th percentile12.789278
Q141.811779
median55.569957
Q372.263331
95-th percentile96.903468
Maximum100
Range92.534722
Interquartile range (IQR)30.451552

Descriptive statistics

Standard deviation24.290007
Coefficient of variation (CV)0.44007831
Kurtosis-0.57325221
Mean55.194737
Median Absolute Deviation (MAD)14.414324
Skewness-0.073241144
Sum5519.4737
Variance590.00443
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.001805374525
2025-07-18T17:26:56.671416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:56.776532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:56.797211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
100 5
 
5.0%
72.02914798 1
 
1.0%
61.71983356 1
 
1.0%
68.19630338 1
 
1.0%
69.42286349 1
 
1.0%
60.69868996 1
 
1.0%
31.7472119 1
 
1.0%
68.76417234 1
 
1.0%
31.62719633 1
 
1.0%
42.01101928 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
7.465277778 1
1.0%
7.570422535 1
1.0%
8.2616179 1
1.0%
8.333333333 1
1.0%
12.10526316 1
1.0%
12.82527881 1
1.0%
14.0651801 1
1.0%
14.52631579 1
1.0%
15.00484027 1
1.0%
15.5 1
1.0%
ValueCountFrequency (%)
100 5
5.0%
96.7404931 1
 
1.0%
96.04863222 1
 
1.0%
91.16161616 1
 
1.0%
89.32748538 1
 
1.0%
88.84353741 1
 
1.0%
88.4180791 1
 
1.0%
85.51769332 1
 
1.0%
85.33163265 1
 
1.0%
85.07157464 1
 
1.0%
2025-07-18T17:26:56.703310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation  Non stationary 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.284978
Minimum11.132255
Maximum96.188402
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:56.829717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11.132255
5-th percentile38.445584
Q150.07485
median56.106457
Q371.731439
95-th percentile89.867115
Maximum96.188402
Range85.056147
Interquartile range (IQR)21.656588

Descriptive statistics

Standard deviation16.518068
Coefficient of variation (CV)0.27862148
Kurtosis0.05317838
Mean59.284978
Median Absolute Deviation (MAD)9.5219362
Skewness0.14684012
Sum5928.4978
Variance272.84658
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2025693086
2025-07-18T17:26:56.868992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:56.974833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:56.996537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
54.92565056 2
 
2.0%
73.92141757 1
 
1.0%
73.59073359 1
 
1.0%
72.20106626 1
 
1.0%
78.27160494 1
 
1.0%
69.80707395 1
 
1.0%
77.8973807 1
 
1.0%
60.64470422 1
 
1.0%
51.56358582 1
 
1.0%
51.83137526 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
11.132255 1
1.0%
24.03536977 1
1.0%
25.81453634 1
1.0%
30.53302433 1
1.0%
37.06844337 1
1.0%
38.51806491 1
1.0%
38.70573871 1
1.0%
39.31552588 1
1.0%
39.65952081 1
1.0%
40.84880637 1
1.0%
ValueCountFrequency (%)
96.18840185 1
1.0%
92.50325945 1
1.0%
92.43421053 1
1.0%
90.47778149 1
1.0%
90.19944979 1
1.0%
89.84962406 1
1.0%
87.81070746 1
1.0%
87.76356723 1
1.0%
87.38560475 1
1.0%
86.01343343 1
1.0%
2025-07-18T17:26:56.900414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Non stationary 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.673069
Minimum33.867055
Maximum89.049731
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:57.035058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum33.867055
5-th percentile42.141242
Q153.899798
median59.355605
Q366.782208
95-th percentile84.965564
Maximum89.049731
Range55.182677
Interquartile range (IQR)12.882411

Descriptive statistics

Standard deviation12.242605
Coefficient of variation (CV)0.20177989
Kurtosis-0.10742178
Mean60.673069
Median Absolute Deviation (MAD)6.7770883
Skewness0.37411989
Sum6067.3069
Variance149.88138
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2460300744
2025-07-18T17:26:57.077403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:57.326576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:57.350652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
43.94661582 2
 
2.0%
66.20102215 1
 
1.0%
62.54050551 1
 
1.0%
66.47280192 1
 
1.0%
70.65793577 1
 
1.0%
67.71042804 1
 
1.0%
72.01344332 1
 
1.0%
64.28768256 1
 
1.0%
59.74391805 1
 
1.0%
61.45169201 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
33.86705483 1
1.0%
37.8440367 1
1.0%
38.59496964 1
1.0%
39.57314362 1
1.0%
40.13132484 1
1.0%
42.24702742 1
1.0%
42.82700422 1
1.0%
43.94661582 2
2.0%
44.61670973 1
1.0%
45.13870884 1
1.0%
ValueCountFrequency (%)
89.0497315 1
1.0%
87.15420433 1
1.0%
86.86334539 1
1.0%
85.38395661 1
1.0%
85.20845231 1
1.0%
84.95278069 1
1.0%
84.61538462 1
1.0%
83.21947054 1
1.0%
82.91304348 1
1.0%
81.54098361 1
1.0%
2025-07-18T17:26:57.110967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.310798
Minimum55.199281
Maximum74.796318
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:57.396343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum55.199281
5-th percentile55.794573
Q157.782769
median62.880317
Q365.019742
95-th percentile71.605217
Maximum74.796318
Range19.597037
Interquartile range (IQR)7.2369736

Descriptive statistics

Standard deviation4.7690229
Coefficient of variation (CV)0.076536059
Kurtosis-0.3345901
Mean62.310798
Median Absolute Deviation (MAD)3.5725302
Skewness0.44205158
Sum6231.0798
Variance22.74358
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2760891108
2025-07-18T17:26:57.443413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:57.563458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:57.586656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
58.50815851 1
 
1.0%
59.85067029 1
 
1.0%
60.02382573 1
 
1.0%
62.35827664 1
 
1.0%
61.74485597 1
 
1.0%
58.63686103 1
 
1.0%
57.87687085 1
 
1.0%
57.04842429 1
 
1.0%
55.37979406 1
 
1.0%
55.37313433 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
55.19928079 1
1.0%
55.25458851 1
1.0%
55.35420099 1
1.0%
55.37313433 1
1.0%
55.37979406 1
1.0%
55.81640331 1
1.0%
55.88062335 1
1.0%
55.94539049 1
1.0%
56.03587708 1
1.0%
56.37177082 1
1.0%
ValueCountFrequency (%)
74.79631785 1
1.0%
73.35773645 1
1.0%
72.7833638 1
1.0%
72.5923369 1
1.0%
72.13065925 1
1.0%
71.57756177 1
1.0%
70.75068067 1
1.0%
70.6979405 1
1.0%
70.0104372 1
1.0%
69.39846118 1
1.0%
2025-07-18T17:26:57.480934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4602179
Minimum-1.0909289
Maximum6.7755537
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:57.630310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0909289
5-th percentile-0.88751395
Q10.15969294
median0.56940698
Q32.4728117
95-th percentile6.04006
Maximum6.7755537
Range7.8664825
Interquartile range (IQR)2.3131188

Descriptive statistics

Standard deviation2.0163459
Coefficient of variation (CV)1.3808528
Kurtosis0.6799585
Mean1.4602179
Median Absolute Deviation (MAD)0.75922308
Skewness1.2268201
Sum146.02179
Variance4.0656506
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.03629415795
2025-07-18T17:26:57.676663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:57.824418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:57.848198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2.593602918 1
 
1.0%
2.66223166 1
 
1.0%
2.587404172 1
 
1.0%
2.871870391 1
 
1.0%
3.11964997 1
 
1.0%
2.751525606 1
 
1.0%
2.290410994 1
 
1.0%
1.904010141 1
 
1.0%
1.235328266 1
 
1.0%
0.9627546444 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.090928879 1
1.0%
-1.034823818 1
1.0%
-0.983434262 1
1.0%
-0.9594151168 1
1.0%
-0.9378993082 1
1.0%
-0.8848620859 1
1.0%
-0.8494945499 1
1.0%
-0.6331833163 1
1.0%
-0.4134949907 1
1.0%
-0.3570379862 1
1.0%
ValueCountFrequency (%)
6.775553666 1
1.0%
6.695933384 1
1.0%
6.615453657 1
1.0%
6.612045228 1
1.0%
6.242602661 1
1.0%
6.0293999 1
1.0%
5.990821178 1
1.0%
5.749652949 1
1.0%
5.326186345 1
1.0%
4.998953212 1
1.0%
2025-07-18T17:26:57.732778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5559709
Minimum-1.0290583
Maximum7.7448461
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:57.888402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0290583
5-th percentile-0.78137158
Q10.089201917
median0.74826451
Q32.4896941
95-th percentile6.5074862
Maximum7.7448461
Range8.7739044
Interquartile range (IQR)2.4004922

Descriptive statistics

Standard deviation2.1746876
Coefficient of variation (CV)1.3976402
Kurtosis1.058033
Mean1.5559709
Median Absolute Deviation (MAD)1.0924363
Skewness1.2792081
Sum155.59709
Variance4.729266
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0006623551329
2025-07-18T17:26:57.931947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:58.042760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:58.063432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.162711083 1
 
1.0%
1.639144095 1
 
1.0%
2.019963128 1
 
1.0%
2.377977601 1
 
1.0%
2.815539415 1
 
1.0%
3.120357363 1
 
1.0%
3.352839046 1
 
1.0%
3.367666099 1
 
1.0%
3.221416802 1
 
1.0%
2.929151144 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.029058316 1
1.0%
-1.028891145 1
1.0%
-1.011075693 1
1.0%
-1.004169562 1
1.0%
-0.9171560323 1
1.0%
-0.7742250314 1
1.0%
-0.630798182 1
1.0%
-0.6111931641 1
1.0%
-0.6074571203 1
1.0%
-0.5170202557 1
1.0%
ValueCountFrequency (%)
7.744846064 1
1.0%
7.513893703 1
1.0%
7.491739418 1
1.0%
7.129682578 1
1.0%
7.092162003 1
1.0%
6.476713739 1
1.0%
6.47595855 1
1.0%
5.840654425 1
1.0%
5.58290016 1
1.0%
5.202723485 1
1.0%
2025-07-18T17:26:57.964689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.095753049
Minimum-3.4640564
Maximum3.299321
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:58.103316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.4640564
5-th percentile-2.4937574
Q1-0.8798063
median-0.040020443
Q30.57107228
95-th percentile2.2597663
Maximum3.299321
Range6.7633774
Interquartile range (IQR)1.4508786

Descriptive statistics

Standard deviation1.4019139
Coefficient of variation (CV)-14.640932
Kurtosis0.20260514
Mean-0.095753049
Median Absolute Deviation (MAD)0.72704986
Skewness0.054856431
Sum-9.5753049
Variance1.9653625
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.04788746279
2025-07-18T17:26:58.147497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:58.260328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:58.286314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.430891835 1
 
1.0%
1.023087565 1
 
1.0%
0.5674410446 1
 
1.0%
0.4938927897 1
 
1.0%
0.3041105542 1
 
1.0%
-0.3688317568 1
 
1.0%
-1.062428052 1
 
1.0%
-1.463655958 1
 
1.0%
-1.986088536 1
 
1.0%
-1.966396499 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.464056432 1
1.0%
-3.16864118 1
1.0%
-3.166037408 1
1.0%
-3.158596999 1
1.0%
-2.512209115 1
1.0%
-2.492786206 1
1.0%
-1.986088536 1
1.0%
-1.97988723 1
1.0%
-1.966396499 1
1.0%
-1.917227339 1
1.0%
ValueCountFrequency (%)
3.299320979 1
1.0%
3.139125611 1
1.0%
3.075937474 1
1.0%
2.694116409 1
1.0%
2.533695668 1
1.0%
2.245349007 1
1.0%
2.095936906 1
1.0%
2.0316254 1
1.0%
1.988443738 1
1.0%
1.956767694 1
1.0%
2025-07-18T17:26:58.181240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8496533
Minimum0.03933687
Maximum67.933819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:58.329119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.03933687
5-th percentile0.25597911
Q10.66978435
median2.3091495
Q310.593319
95-th percentile46.705004
Maximum67.933819
Range67.894482
Interquartile range (IQR)9.9235347

Descriptive statistics

Standard deviation15.016379
Coefficient of variation (CV)1.6968325
Kurtosis5.8033825
Mean8.8496533
Median Absolute Deviation (MAD)1.8707306
Skewness2.4691877
Sum884.96533
Variance225.49165
MonotonicityNot monotonic
2025-07-18T17:26:58.376841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03933687 1
 
1.0%
10.14782362 1
 
1.0%
2.53865705 1
 
1.0%
1.159302 1
 
1.0%
0.45352185 1
 
1.0%
3.26640326 1
 
1.0%
2.5695621 1
 
1.0%
2.28992307 1
 
1.0%
0.47434456 1
 
1.0%
0.32929713 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.03933687 1
1.0%
0.04938846 1
1.0%
0.06009142 1
1.0%
0.16466896 1
1.0%
0.2212433 1
1.0%
0.25780731 1
1.0%
0.28138775 1
1.0%
0.28628336 1
1.0%
0.30440831 1
1.0%
0.30676811 1
1.0%
ValueCountFrequency (%)
67.93381869 1
1.0%
64.65788919 1
1.0%
61.27382236 1
1.0%
58.80823865 1
1.0%
47.25492115 1
1.0%
46.6760611 1
1.0%
40.1093201 1
1.0%
35.60600827 1
1.0%
29.92927997 1
1.0%
29.2984526 1
1.0%

target
Numeric time series

High correlation  Non stationary 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2220.7379
Minimum2196.29
Maximum2239.18
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-07-18T17:26:58.418523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2196.29
5-th percentile2199.75
Q12201.7375
median2228.115
Q32231.96
95-th percentile2236.5745
Maximum2239.18
Range42.89
Interquartile range (IQR)30.2225

Descriptive statistics

Standard deviation14.48954
Coefficient of variation (CV)0.0065246511
Kurtosis-1.5016683
Mean2220.7379
Median Absolute Deviation (MAD)5.725
Skewness-0.54118409
Sum222073.79
Variance209.94677
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7130597219
2025-07-18T17:26:58.460963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-07-18T17:26:58.576681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-18T17:26:58.599001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2201.68 3
 
3.0%
2231.84 3
 
3.0%
2201.07 2
 
2.0%
2201.69 2
 
2.0%
2232.79 2
 
2.0%
2198.25 2
 
2.0%
2238 2
 
2.0%
2231 2
 
2.0%
2199.76 1
 
1.0%
2200.84 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
2196.29 1
1.0%
2198.25 2
2.0%
2199.12 1
1.0%
2199.56 1
1.0%
2199.76 1
1.0%
2199.84 1
1.0%
2200.01 1
1.0%
2200.44 1
1.0%
2200.56 1
1.0%
2200.84 1
1.0%
ValueCountFrequency (%)
2239.18 1
1.0%
2238.41 1
1.0%
2238 2
2.0%
2237.99 1
1.0%
2236.5 1
1.0%
2235.92 1
1.0%
2235.62 1
1.0%
2235.26 1
1.0%
2234.99 1
1.0%
2234.53 1
1.0%
2025-07-18T17:26:58.496274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2025-07-18T17:26:51.855064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.273817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.949222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.645520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.511047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.198497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.009968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.956161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.785491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.558485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.077238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.724389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.507189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.413776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.085508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.746149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.665461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.377744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.063784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.007151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.783516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.530135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.375446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.112536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.880884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.302773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.975832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.678026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.538250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.230020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.040122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.989449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.813590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.584803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.103040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.755137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.539896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.438914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.116737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.776263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.690854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.407258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.100220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.042680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.811570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.559944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.401979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.142828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.909183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.333203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.002800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.703498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.566938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.261708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.068423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.026766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.844815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.611421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.127778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.788878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.575121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.464397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.149060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.810763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.717080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.432405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.131206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.075005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.840529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.586736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.431799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.173161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.935768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.359061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.030496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.729644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.594089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.290924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.096579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.061668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.873611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.635631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.156714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.819823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.608405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.492551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.174914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.840831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.747677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.457789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.163727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.104342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.868383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.613323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.464814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.201653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.961972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.385136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.056687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.755624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.621111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.319239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.126181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.100433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.906313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.661248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.184851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.850398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.638671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.520702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.201633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.873499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.774370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.484290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.192767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.134466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.898140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.638049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.493341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.231590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.990624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.414111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.086677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.785191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.649230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.353658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.156028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.134427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.940847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.688498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.213546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.881343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.668877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.554749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.228896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.905231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.802929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.512039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.226594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-18T17:26:42.441740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.353250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.032654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.691711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.603556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.317871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.003924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.791883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.722083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.469135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.321946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.052572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.796920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:52.659606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:35.922214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:36.615203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:37.484181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.172981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:38.980791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:39.910142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:40.753992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.529681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.052172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:41.699238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:42.476140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:43.386149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.060558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:44.720502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:45.636001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:46.346281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.033383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:47.824407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:48.752863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:49.499827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:50.350277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.082951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-18T17:26:51.827722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-18T17:26:58.646385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obvopenrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.8510.8400.8490.8930.9760.9690.1780.1030.0690.4020.9390.1760.1250.7590.1580.8510.8400.8490.8930.7800.4020.8490.849
ema_140.8511.0000.9670.9320.9210.8350.873-0.106-0.2130.0060.3090.869-0.161-0.1220.555-0.2071.0000.9670.9320.9210.7640.3090.9320.932
ema_210.8400.9671.0000.9600.9130.8260.863-0.224-0.109-0.1530.2770.857-0.208-0.2330.537-0.2200.9671.0000.9600.9130.7660.2770.9600.960
ema_600.8490.9320.9601.0000.8880.8320.867-0.206-0.076-0.1840.2680.858-0.186-0.2320.533-0.1660.9320.9601.0000.8880.8500.2681.0001.000
ema_70.8930.9210.9130.8881.0000.9090.9090.086-0.1330.1200.4160.9310.0460.0270.678-0.0890.9210.9130.8881.0000.7650.4160.8880.888
high0.9760.8350.8260.8320.9091.0000.9640.2200.1030.1100.4420.9690.2010.1520.7730.1620.8350.8260.8320.9090.7710.4420.8320.832
low0.9690.8730.8630.8670.9090.9641.0000.1280.0970.0290.3770.9750.1270.0600.7290.1450.8730.8630.8670.9090.7870.3770.8670.867
macd_70.178-0.106-0.224-0.2060.0860.2200.1281.0000.1230.8150.3230.1530.7840.9220.4550.493-0.106-0.224-0.2060.0860.0580.323-0.206-0.206
macdhist_70.103-0.213-0.109-0.076-0.1330.1030.0970.1231.000-0.3830.0880.0510.4700.0910.2970.777-0.213-0.109-0.076-0.1330.0620.088-0.076-0.076
macdsignal_70.0690.006-0.153-0.1840.1200.1100.0290.815-0.3831.0000.2070.0720.4570.7980.2510.0260.006-0.153-0.1840.120-0.0330.207-0.184-0.184
obv0.4020.3090.2770.2680.4160.4420.3770.3230.0880.2071.0000.4100.3180.2680.4870.1850.3090.2770.2680.4160.2971.0000.2680.268
open0.9390.8690.8570.8580.9310.9690.9750.1530.0510.0720.4101.0000.1130.0860.7240.1020.8690.8570.8580.9310.7750.4100.8580.858
rsi_140.176-0.161-0.208-0.1860.0460.2010.1270.7840.4700.4570.3180.1131.0000.6710.4460.612-0.161-0.208-0.1860.0460.0280.318-0.186-0.186
rsi_210.125-0.122-0.233-0.2320.0270.1520.0600.9220.0910.7980.2680.0860.6711.0000.3980.446-0.122-0.233-0.2320.0270.0310.268-0.232-0.232
rsi_600.7590.5550.5370.5330.6780.7730.7290.4550.2970.2510.4870.7240.4460.3981.0000.3990.5550.5370.5330.6780.6360.4870.5330.533
rsi_70.158-0.207-0.220-0.166-0.0890.1620.1450.4930.7770.0260.1850.1020.6120.4460.3991.000-0.207-0.220-0.166-0.0890.0770.185-0.166-0.166
sma_140.8511.0000.9670.9320.9210.8350.873-0.106-0.2130.0060.3090.869-0.161-0.1220.555-0.2071.0000.9670.9320.9210.7640.3090.9320.932
sma_210.8400.9671.0000.9600.9130.8260.863-0.224-0.109-0.1530.2770.857-0.208-0.2330.537-0.2200.9671.0000.9600.9130.7660.2770.9600.960
sma_600.8490.9320.9601.0000.8880.8320.867-0.206-0.076-0.1840.2680.858-0.186-0.2320.533-0.1660.9320.9601.0000.8880.8500.2681.0001.000
sma_70.8930.9210.9130.8881.0000.9090.9090.086-0.1330.1200.4160.9310.0460.0270.678-0.0890.9210.9130.8881.0000.7650.4160.8880.888
target0.7800.7640.7660.8500.7650.7710.7870.0580.062-0.0330.2970.7750.0280.0310.6360.0770.7640.7660.8500.7651.0000.2970.8500.850
volume0.4020.3090.2770.2680.4160.4420.3770.3230.0880.2071.0000.4100.3180.2680.4870.1850.3090.2770.2680.4160.2971.0000.2680.268
window_end_ms0.8490.9320.9601.0000.8880.8320.867-0.206-0.076-0.1840.2680.858-0.186-0.2320.533-0.1660.9320.9601.0000.8880.8500.2681.0001.000
window_start_ms0.8490.9320.9601.0000.8880.8320.867-0.206-0.076-0.1840.2680.858-0.186-0.2320.533-0.1660.9320.9601.0000.8880.8500.2681.0001.000

Missing values

2025-07-18T17:26:52.717343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-18T17:26:52.783149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

pairopenhighlowclosevolumewindow_start_mswindow_end_mscandle_secondssma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
1751992020000ETH/EUR2201.192201.372200.972200.970.03933717519920200001751992080000602198.5057142194.0207142192.6400002191.8416672198.5057142194.0207142192.6400002191.84166772.02914873.59073462.54050658.5081592.5936031.1627111.4308920.0393372200.84
1751992080000ETH/EUR2200.882201.312200.882201.1010.14782417519920800001751992140000602199.3214292194.9078572193.0928572192.0351672199.3214292194.9078572193.0928572192.03516768.19630373.92141866.20102259.8506702.6622321.6391441.02308810.1478242199.76
1751992140000ETH/EUR2200.692201.192200.572200.572.53865717519921400001751992200000602199.8042862195.7407142193.5514292192.2315002199.8042862195.7407142193.5514292192.23150061.71983472.20106666.47280260.0238262.5874042.0199630.5674412.5386572199.12
1751992200000ETH/EUR2200.992203.802200.992203.801.15930217519922000001751992260000602200.7500002196.8857142194.1823812192.4858332200.7500002196.8857142194.1823812192.48583368.76417278.27160570.65793662.3582772.8718702.3779780.4938931.1593022196.29
1751992260000ETH/EUR2203.222204.712203.212204.710.45352217519922600001751992320000602201.7500002197.9964292194.8685712192.7236672201.7500002197.9964292194.8685712192.72366769.42286377.89738172.01344361.7448563.1196502.8155390.3041110.4535222198.25
1751992320000ETH/EUR2204.262204.712200.742200.843.26640317519923200001751992380000602202.3800002198.8764292195.4557142192.9078332202.3800002198.8764292195.4557142192.90783360.69869069.80707467.71042858.6368612.7515263.120357-0.3688323.2664032198.25
1751992380000ETH/EUR2200.792200.792199.472199.762.56956217519923800001751992440000602201.6785712199.5307142195.9914292193.0780002201.6785712199.5307142195.9914292193.07800031.74721265.21594765.67288957.8768712.2904113.352839-1.0624282.5695622200.56
1751992440000ETH/EUR2199.682199.682198.502199.122.28992317519924400001751992500000602201.4142862199.9600002196.4852382193.2308332201.4142862199.9600002196.4852382193.23083341.09720960.64470464.28768357.0484241.9040103.367666-1.4636562.2899232199.84
1751992500000ETH/EUR2198.252198.252195.532196.290.47434517519925000001751992560000602200.7271432200.0242862196.8476192193.3510002200.7271432200.0242862196.8476192193.35100031.62719651.56358659.74391855.3797941.2353283.221417-1.9860890.4743452201.12
1751992560000ETH/EUR2196.062198.252196.062198.250.32929717519925600001751992620000602200.3957142200.1000002197.2923812193.4710002200.3957142200.1000002197.2923812193.47100042.01101951.83137561.45169255.3731340.9627552.929151-1.9663960.3292972201.68
pairopenhighlowclosevolumewindow_start_mswindow_end_mscandle_secondssma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
1751997420000ETH/EUR2236.572238.002235.992238.0012.00840817519974200001751997480000602237.4042862233.0578572231.1152382226.5360002237.4042862233.0578572231.1152382226.53600079.09516473.73695262.56392865.7771212.3024461.7204800.58196612.0084082231.51
1751997480000ETH/EUR2237.852237.852235.912235.9213.58767017519974800001751997540000602237.7142862233.8214292231.4638102227.0915002237.7142862233.8214292231.4638102227.09150059.28143771.70117762.45745464.3379512.0375242.109843-0.07231813.5876702232.34
1751997540000ETH/EUR2235.972235.972232.042232.3740.10932017519975400001751997600000602236.9114292234.1942862231.6676192227.6028332236.9114292234.1942862231.6676192227.60283324.45454559.93907156.60086462.9037691.4273732.397920-0.97054740.1093202234.04
1751997600000ETH/EUR2232.312233.382231.642231.902.71249417519976000001751997660000602236.0400002234.5742862231.8466672228.1166672236.0400002234.5742862231.8466672228.11666723.38568960.16819655.72472662.9832390.9737002.472085-1.4983852.7124942233.93
1751997660000ETH/EUR2231.642231.952231.512231.950.53767317519976600001751997720000602235.0071432234.8350002232.1280952228.6183332235.0071432234.8350002232.1280952228.61833315.00484057.45202159.59727262.7542370.7102132.559275-1.8490610.5376732231.27
1751997720000ETH/EUR2231.632232.252231.502231.512.13821217519977200001751997780000602234.0214292234.8714292232.3700002229.1256672234.0214292234.8714292232.3700002229.12566715.50000051.14709958.23605762.9355770.4521032.431991-1.9798872.1382122234.05
1751997780000ETH/EUR2231.512232.342230.002232.343.93985017519977800001751997840000602233.4271432234.8828572232.6395242229.6145002233.4271432234.8828572232.6395242229.61450026.68161450.36563159.00700262.5825830.3543552.177225-1.8228703.9398502231.99
1751997840000ETH/EUR2232.742234.052232.622234.040.39240617519978400001751997900000602232.8614292235.1328572232.9923812230.1146672232.8614292235.1328572232.9923812230.11466728.28947457.97629961.20350862.7996250.4546361.909489-1.4548530.3924062232.79
1751997900000ETH/EUR2234.042234.052233.922233.930.82701317519979000001751997960000602232.5771432235.1457142233.4066672230.4523332232.5771432235.1457142233.4066672230.45233336.08391650.47770763.68785459.4057570.5156981.746627-1.2309290.8270132235.26
1751997960000ETH/EUR2233.922233.922231.112231.272.59050717519979600001751998020000602232.4200002234.6657142233.6028572230.7280002232.4200002234.6657142233.6028572230.72800041.21405830.53302456.33456357.5663310.1287701.333407-1.2046372.5905072234.53